Instructions to use facebook/hf-seamless-m4t-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/hf-seamless-m4t-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/hf-seamless-m4t-large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/hf-seamless-m4t-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08b0493c6b06141c6568be1e60bc61dd6d5fc4c722221e9b7bf8aa649fdc1723
- Size of remote file:
- 9.44 GB
- SHA256:
- 51e5e7909983073029a0cc73e35a20dca7e5941a2092f2e29f131ce100441110
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